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Identifying and removing micro-drift in ground-based electromagnetic induction data

Philippe De Smedt (UGent) , Samuël Delefortrie (UGent) and Francis wyffels (UGent)
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Keywords
FDEM, Electromagnetic induction, Signal stability, Micro-drift, Signal processing, Data levelling, SOIL ELECTRICAL-CONDUCTIVITY, PRECISION AGRICULTURE, IDENTIFICATION, CALIBRATION, OUTLIERS, EMI

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Citation

Please use this url to cite or link to this publication:

Chicago
De Smedt, Philippe, Samuël Delefortrie, and Francis wyffels. 2016. “Identifying and Removing Micro-drift in Ground-based Electromagnetic Induction Data.” Journal of Applied Geophysics 131: 14–22.
APA
De Smedt, Philippe, Delefortrie, S., & wyffels, F. (2016). Identifying and removing micro-drift in ground-based electromagnetic induction data. JOURNAL OF APPLIED GEOPHYSICS, 131, 14–22.
Vancouver
1.
De Smedt P, Delefortrie S, wyffels F. Identifying and removing micro-drift in ground-based electromagnetic induction data. JOURNAL OF APPLIED GEOPHYSICS. 2016;131:14–22.
MLA
De Smedt, Philippe, Samuël Delefortrie, and Francis wyffels. “Identifying and Removing Micro-drift in Ground-based Electromagnetic Induction Data.” JOURNAL OF APPLIED GEOPHYSICS 131 (2016): 14–22. Print.
@article{7236824,
  author       = {De Smedt, Philippe and Delefortrie, Samu{\"e}l and wyffels, Francis},
  issn         = {0926-9851},
  journal      = {JOURNAL OF APPLIED GEOPHYSICS},
  language     = {eng},
  pages        = {14--22},
  title        = {Identifying and removing micro-drift in ground-based electromagnetic induction data},
  url          = {http://dx.doi.org/10.1016/j.jappgeo.2016.05.004},
  volume       = {131},
  year         = {2016},
}

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